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Breast cancer is a significantly alarming health issue for women where Dynamic Contrast Enhanced Magnetic Resonance Imaging serves as a pivot in detection, diagnoses and treatment monitoring. In this paper the response given by breast cancer patients to Neoadjuvant Chemotherapy is analyzed with Magnetic Resonance Images of these patients taken before and after treatment. The MRI images are pre-processed...
In this paper we propose an application of local statistical models to the problem of identifying patients with pathologic complete response (PCR) to neoadjuvant chemotherapy. The idea of using local models is to split the input space (with data from PCR and NoPCR patients) and build a model for each partition. After the construction of the models we used bayesian classifiers and logistic regression...
The incidence of breast cancer and associated deaths are a recognized world health problem. Conventional screening approaches such as x-ray mammography, ultrasound and increasingly contrast-enhanced MRI are life saving to many women. However, the sensitivity and specificity of these modalities are still limited and there is clearly room for alternatives. Microwave imaging is a potentially important...
Multimodality imaging systems combining optical techniques with MRI/CT provide high-resolution functional characterization of tissue by imaging molecular and vascular biomarkers. To optimize these hybrid systems for clinical use, faster and automatable algorithms are required for 3-D imaging. Towards this end, a boundary element model was used to incorporate tissue boundaries from MRI/CT into image...
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